Data Engineering

Turn data into actionable insights, enhance decision-making, and fuel business growth with Predikly’s Data Engineering services. Our advanced solutions streamline data pipelines, ensure high-quality analytics, and empower your enterprise to thrive in a data-driven world.

Our Data Engineering Services

Transform raw data into valuable insights with Predikly’s Data Engineering services. Our solutions streamline complex data pipelines, ensuring seamless integration, storage, and processing of structured and unstructured data. By optimizing data flow and enhancing data quality, we enable your business to unlock deeper analytics, fuel predictive models, and drive strategic decisions. From real-time data ingestion to cloud migration, we empower organizations to harness the full potential of their data assets for sustainable growth and innovation.

Transforming Raw Data into Strategic Advantage

Key Features

Reusable Architecture

The same application framework can be deployed across multiple projects, enhancing versatility

Reduced Development Time

Accelerates the initiation of new projects by streamlining dataset preparation

Cost Efficiency

Minimizes the costs associated with developing similar pipelines repeatedly.

Optimized Processing Speed

Apache Beam and Dataflow reduced processing time from hours to under an hour.

Digital Chain: A Glowing Abstract Representation of Data Security
Generic Data Engineering Pipeline

Develop a versatile data engineering pipeline to streamline dataset generation for Data Science and Machine Learning teams across multiple projects

    • Business Problem: A leading innovative organization needed a versatile data pipeline to handle diverse input types and support object detection models, efficiently processing around 100 GB of data while adapting to different data segmentation requirements
    • Solution : We built an Apache Beam pipeline that processes data from sources like JSON and BigQuery and generates TFRecords by merging annotations with cloud images. The pipeline uses Dataflow for parallel processing and Docker for easy deployment
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Key Features:
    • Reusable Architecture: The same application framework can be deployed across multiple projects, enhancing versatility
    • Reduced Development Time: Accelerates the initiation of new projects by streamlining dataset preparation
    • Cost Efficiency: Minimizes the costs associated with developing similar pipelines repeatedly.
    • Optimized Processing Speed: Apache Beam and Dataflow reduced processing time from hours to under an hour.
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Vegetable Quality Assessment
Streamline the quality assessment of vegetables using a data-driven approach.
  • Use Case: A grocery retailer aimed to automate the assessment of vegetable quality to minimize waste. We developed a pipeline that processes images and sensor data for classification and quality grading.
  • Key Features:
    • Automated Grading: Utilizes machine learning algorithms to classify vegetables based on quality metrics.
    Inventory Optimization: Provides insights on quality trends to enhance inventory management and reduce spoilage.
Dairy Product Classification
Dairy Product Classification
Improve classification and quality control of dairy products.
    • Use Case: A dairy manufacturer sought to automate the classification of dairy products to maintain quality standards. We created a pipeline that processes product images and lab analysis data for classification.
    • Key Features:
        • Quality Assurance: Implements machine learning models to identify defects and categorize products.
        • Automated Reporting: Generates real-time reports on product quality and compliance metrics.

Features of our Data Engineering Services:

Robust Data Pipeline Development: We design and implement scalable data pipelines that automate the flow of data from various sources to your analytical environments, ensuring reliability and efficiency

Custom Integration Solutions: Our team crafts tailored data integration strategies that unify disparate data sources, enabling a holistic view of your organization’s data landscape

Real-Time Data Processing: Our solutions facilitate real-time data ingestion and processing, enabling immediate insights and timely responses to dynamic business needs

Data Quality Assurance: We prioritize data integrity by employing rigorous validation and cleansing processes, ensuring that your data is accurate, consistent, and trustworthy

Commitment to Innovation: By continually investing in the latest technologies and methodologies, we keep our data engineering solutions at the cutting edge, providing you with the tools needed to stay ahead in a data-driven world

Partner with Predikly to streamline operations, power analytics, and drive smarter decisions. Contact our team of experts today!